Image Enhancement Based on Nonsubsampled Contourlet Transform

摘要：

Based on nonsubsampled contourlet transform and image statistical property, an image enhancement method is presented. A noise variance estimate algorithm is given using nonsubsampled Laplace Pyramid decompose, and a wake edge enhancement algorithm using directional local neighborhood is proposed. This paper estimates the variance in each decomposed direction, and the directional local neighborhood statics is used to distinguish the strong edge, wake edge and noise. The wake edge is enhanced and the speckled noise is reduced. Experimental results show that the method represents better performance in wake edges information enhancement and speckle reduction.

作者: Yuxin Ma Jiancang Xie Jungang Luo

作者单位: Institute of Water Resources and Hydro-Electric Engineering,Xian University of Technology,Xian 710 Institute of Water Resources and Hydro-Electric Engineering,Xian University of Technology,Xian 710

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 31-34

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）